Xuchen Pan

According to our database, Xuchen Pan authored at least 13 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Simple and Provable Scaling Law for the Test-Time Compute of Large Language Models.

Yanxi Chen, Xuchen Pan, Yaliang Li, Bolin Ding, Jingren Zhou

CoRR, 2024

Dynamic and Textual Graph Generation Via Large-Scale LLM-based Agent Simulation.

Jiarui Ji, Runlin Lei, Jialing Bi, Zhewei Wei, Yankai Lin, Xuchen Pan, Yaliang Li, Bolin Ding

CoRR, 2024

GenSim: A General Social Simulation Platform with Large Language Model based Agents.

Jiakai Tang, Heyang Gao, Xuchen Pan, Lei Wang, Haoran Tan, Dawei Gao, Yushuo Chen, Xu Chen, Yankai Lin, Yaliang Li, Bolin Ding, Jingren Zhou, Jun Wang, Ji-Rong Wen

CoRR, 2024

Very Large-Scale Multi-Agent Simulation in AgentScope.

Xuchen Pan, Dawei Gao, Yuexiang Xie, Zhewei Wei, Yaliang Li, Bolin Ding, Ji-Rong Wen, Jingren Zhou

CoRR, 2024

AgentScope: A Flexible yet Robust Multi-Agent Platform.

Dawei Gao, Zitao Li, Weirui Kuang, Xuchen Pan, Daoyuan Chen, Zhijian Ma, Bingchen Qian, Liuyi Yao, Lin Zhu, Chen Cheng, Hongzhu Shi, Yaliang Li, Bolin Ding, Jingren Zhou

CoRR, 2024

EE-Tuning: An Economical yet Scalable Solution for Tuning Early-Exit Large Language Models.

Xuchen Pan, Yanxi Chen, Yaliang Li, Bolin Ding, Jingren Zhou

CoRR, 2024

Data-Juicer: A One-Stop Data Processing System for Large Language Models.

Daoyuan Chen, Yilun Huang, Zhijian Ma, Hesen Chen, Xuchen Pan, Ce Ge, Dawei Gao, Yuexiang Xie, Zhaoyang Liu, Jinyang Gao, Yaliang Li, Bolin Ding, Jingren Zhou

Proceedings of the Companion of the 2024 International Conference on Management of Data, 2024

FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning.

Weirui Kuang, Bingchen Qian, Zitao Li, Daoyuan Chen, Dawei Gao, Xuchen Pan, Yuexiang Xie, Yaliang Li, Bolin Ding, Jingren Zhou

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

EE-LLM: Large-Scale Training and Inference of Early-Exit Large Language Models with 3D Parallelism.

Yanxi Chen, Xuchen Pan, Yaliang Li, Bolin Ding, Jingren Zhou

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

FS-Real: A Real-World Cross-Device Federated Learning Platform.

Dawei Gao, Daoyuan Chen, Zitao Li, Yuexiang Xie, Xuchen Pan, Yaliang Li, Bolin Ding, Jingren Zhou

Proc. VLDB Endow., 2023

FS-REAL: Towards Real-World Cross-Device Federated Learning.

Daoyuan Chen, Dawei Gao, Yuexiang Xie, Xuchen Pan, Zitao Li, Yaliang Li, Bolin Ding, Jingren Zhou

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

Hu-Fu: Efficient and Secure Spatial Queries over Data Federation.

Yongxin Tong, Xuchen Pan, Yuxiang Zeng, Yexuan Shi, Chunbo Xue, Zimu Zhou, Xiaofei Zhang, Lei Chen, Yi Xu, Ke Xu, Weifeng Lv

Proc. VLDB Endow., 2022

Hu-Fu: A Data Federation System for Secure Spatial Queries.

Xuchen Pan, Yongxin Tong, Chunbo Xue, Zimu Zhou, Junping Du, Yuxiang Zeng, Yexuan Shi, Xiaofei Zhang, Lei Chen, Yi Xu, Ke Xu, Weifeng Lv

Proc. VLDB Endow., 2022